## VAA effects meta-analysis ----------------------
## README -----------------------------------------

These are the replication materials for the study: Meta-Analysis of the Effects of Voting Advice Applications by Simon Munzert and Sebastian Ramirez Ruiz.

In the folder you will find the following files:

a) 00-Munzert_RamirezRuiz_Supplemental_Appendix: The online supplemental appendix for the study

b) 01-descriptives.R: R script to render figures 1, A1, and A2, as well as tables A1 to A4.

c) 02-meta.analysis.R: R script to reproduce the meta-analyses included in the main text (Figures 3, 4, and 5)

d) 03-moderator-analyses.R: R script to reproduce the moderator analyses included in the study (Figures 6, B1-B7, as well as tables B1-B8)

e) 04-sensitivity-checks.R: R script to reproduce the trim-and-fill publication bias analysis, sensitivy to model specifications check, and GOSH plots (Figures B8, B9, and C1)

f) drop_df.RData: RData file containing effects excluded for table A2

e) functions.R: R helper file containing functions

f) gosh-sims.RData: RData file containing simulations for GOSH plots

g) packages.R: R helper file containing libraries

h) vaa_df_prep.RData: RData file containing 55 effects including in meta-analysis with accompanying information

i) vaa-global-census-2016.xlsx: Excel file containing distribution of VAAs (source: 2016 Global Census of the ECPR ResearchNetwork on Voting Advice Applications (http://vaa-research.net/?page_id=146))

The code assumes that the working directory is the folder where the R script file rests. All figures will be rendered in the same folder.
